Datasets:
bltlab
/
queryner

Dataset card Data Studio Files Community
2
tokens
sequencelengths
2
12
ner_tags
sequencelengths
2
12
[ "crustless", "sandwich", "maker" ]
[ 17, 9, 10 ]
[ "anti", "itch", "cream" ]
[ 9, 10, 10 ]
[ "jeans", "black", "for", "women" ]
[ 9, 3, 13, 14 ]
[ "japanese", "snack", "box" ]
[ 0, 9, 10 ]
[ "technical", "communication", "today" ]
[ 7, 8, 8 ]
[ "m6", "taylormade", "iron", "set" ]
[ 25, 11, 9, 10 ]
[ "keyring", "stretch" ]
[ 9, 17 ]
[ "bape", "hoodie", "kids" ]
[ 7, 9, 13 ]
[ "body", "rabbit", "baby" ]
[ 9, 7, 13 ]
[ "traverse", "curtain" ]
[ 9, 10 ]
[ "wedding", "confetti", "tubes" ]
[ 19, 9, 10 ]
[ "toslink", "mini", "0.75m" ]
[ 9, 10, 1 ]
[ "snap", "power", "outlet", "lights" ]
[ 11, 12, 9, 10 ]
[ "heatwave", "sunglasses" ]
[ 17, 9 ]
[ "detangler", "brush", "for", "natural", "black", "hair" ]
[ 17, 9, 17, 18, 18, 18 ]
[ "2", "inch", "muffler", "tip" ]
[ 1, 2, 9, 10 ]
[ "pet", "seat", "cover" ]
[ 17, 9, 10 ]
[ "skechers", "open", "back", "shoes", "for", "women" ]
[ 11, 17, 18, 9, 13, 14 ]
[ "david", "bellamy", "watercolor" ]
[ 11, 12, 7 ]
[ "black", "belt", "martial", "arts" ]
[ 3, 9, 19, 20 ]
[ "surelock", "luggage", "lock" ]
[ 11, 9, 10 ]
[ "saxophone", "cleaning", "kit" ]
[ 17, 9, 10 ]
[ "sabatouer", "game" ]
[ 7, 9 ]
[ "two", "way", "radio" ]
[ 17, 18, 9 ]
[ "ut", "longhorns", "apparel", "women" ]
[ 7, 8, 9, 13 ]
[ "playstation", "4", "gift", "card", "digital", "code" ]
[ 25, 26, 9, 10, 17, 18 ]
[ "womens", "crocs", "without", "holes" ]
[ 13, 25, 31, 32 ]
[ "red", "dot", "sight", "sightmark" ]
[ 9, 10, 10, 11 ]
[ "black", "slip", "on", "sneakers", "for", "women" ]
[ 3, 17, 18, 9, 13, 14 ]
[ "huggable", "sloth", "cooling", "+", "heating", "pad" ]
[ 17, 31, 9, 0, 9, 10 ]
[ "32dd", "top" ]
[ 1, 9 ]
[ "mens", "short", "sleeve", "shirts", "casual" ]
[ 13, 9, 10, 10, 17 ]
[ "lactaid", "pills" ]
[ 25, 9 ]
[ "christopher", "knight", "chairs", "wood", "dining" ]
[ 11, 12, 9, 15, 17 ]
[ "winter", "scarf", "for", "men", "cashmere" ]
[ 19, 9, 13, 14, 15 ]
[ "toy", "cars", "scale", "1/18", "bugatti" ]
[ 9, 10, 1, 2, 11 ]
[ "10", "ml", "syringes", "without", "needles" ]
[ 1, 2, 9, 5, 6 ]
[ "mirror", "decorative", "wall", "art" ]
[ 17, 17, 9, 10 ]
[ "airpod", "case", "gucci" ]
[ 25, 9, 11 ]
[ "brooklyn", "nets" ]
[ 7, 8 ]
[ "electrician", "scissors" ]
[ 17, 9 ]
[ "red", "velvet" ]
[ 0, 0 ]
[ "potty", "book" ]
[ 7, 9 ]
[ "mcqueen", "clothes" ]
[ 11, 9 ]
[ "art", "supplies", "for", "kids", "9-12" ]
[ 9, 10, 13, 14, 14 ]
[ "3d", "kids", "iphone", "6", "case" ]
[ 31, 13, 25, 26, 9 ]
[ "tight", "long", "sleeve" ]
[ 31, 31, 32 ]
[ "softsoap", "body", "wash", "avocado" ]
[ 11, 9, 10, 25 ]
[ "airplane", "cable", "clamp" ]
[ 17, 9, 10 ]
[ "black", "fleece", "blanket" ]
[ 3, 15, 9 ]
[ "silver", "age", "comic", "book", "boards" ]
[ 7, 8, 8, 8, 9 ]
[ "pimp", "daddy", "destro" ]
[ 25, 26, 26 ]
[ "justin", "portable", "charger" ]
[ 11, 9, 10 ]
[ "caffeine", "tablet" ]
[ 9, 10 ]
[ "sandisk", "512gb" ]
[ 25, 1 ]
[ "shein", "womens", "clothes" ]
[ 11, 13, 9 ]
[ "acne", "scar", "lightening" ]
[ 17, 18, 9 ]
[ "leather", "sofa" ]
[ 15, 9 ]
[ "red", "notebook", "wide", "ruled" ]
[ 3, 9, 17, 18 ]
[ "designing", "your", "life" ]
[ 0, 0, 0 ]
[ "forest", "friends", "coloring", "book" ]
[ 7, 8, 17, 9 ]
[ "student", "scissors" ]
[ 13, 9 ]
[ "burgundy", "pregnancy", "dress" ]
[ 3, 9, 10 ]
[ "epson", "artisan", "837", "ink", "cartridges", "light", "magenta" ]
[ 11, 25, 26, 9, 10, 3, 4 ]
[ "delonghi", "toaster", "oven" ]
[ 11, 9, 10 ]
[ "10", "by", "30", "white", "tents", "without", "sidewall" ]
[ 1, 2, 2, 3, 9, 5, 6 ]
[ "buildable", "gundam" ]
[ 17, 25 ]
[ "nikon", "lens", "cleaning", "kit" ]
[ 11, 17, 9, 10 ]
[ "nespresso", "refillable", "capsules" ]
[ 11, 17, 9 ]
[ "mason", "jar", "lids", "wide", "mouth" ]
[ 9, 10, 10, 31, 32 ]
[ "cute", "stickers" ]
[ 17, 9 ]
[ "wall", "phones", "for", "landline" ]
[ 9, 10, 17, 17 ]
[ "ice", "cream", "maker" ]
[ 9, 10, 10 ]
[ "rotex", "sander" ]
[ 11, 9 ]
[ "24k", "stud", "earring" ]
[ 1, 31, 9 ]
[ "slimfast", "meal", "replacement", "bar" ]
[ 11, 9, 10, 10 ]
[ "towel", "warmer", "for", "facials" ]
[ 9, 17, 18, 18 ]
[ "pills", "ury", "marshmellow", "frosting" ]
[ 11, 12, 9, 10 ]
[ "lps", "cocker", "spaniel" ]
[ 7, 8, 8 ]
[ "red", "little", "bother", "football", "shirt" ]
[ 3, 7, 8, 9, 10 ]
[ "ion", "robot", "filter" ]
[ 17, 9, 10 ]
[ "potensic", "t18", "case" ]
[ 17, 18, 9 ]
[ "swiffer", "bissell", "steamboost", "starter", "kit" ]
[ 11, 25, 26, 9, 10 ]
[ "children's", "silverware" ]
[ 13, 9 ]
[ "leopard", "dresses" ]
[ 3, 9 ]
[ "relax", "chair" ]
[ 17, 9 ]
[ "ifit", "membership" ]
[ 0, 0 ]
[ "collection", "edition", "barbie", "nutcraker" ]
[ 7, 8, 7, 8 ]
[ "get", "airpod", "skin", "gold" ]
[ 0, 25, 9, 3 ]
[ "navy", "blue", "running", "short" ]
[ 3, 4, 19, 9 ]
[ "chinese", "writing", "pad" ]
[ 17, 9, 10 ]
[ "play", "table", "for", "kids", "ages", "4-8" ]
[ 9, 10, 13, 14, 14, 14 ]
[ "string", "line", "chalk" ]
[ 9, 10, 10 ]
[ "barbie", "dream", "camper" ]
[ 7, 25, 26 ]
[ "women's", "packable", "sun", "hat" ]
[ 13, 17, 9, 10 ]
[ "boys", "nautica", "shorts" ]
[ 13, 11, 9 ]
[ "magnetic", "door", "stops" ]
[ 17, 9, 10 ]
[ "bag", "chain", "strap" ]
[ 17, 9, 10 ]
[ "with", "a", "purpose", "sportswear" ]
[ 11, 12, 12, 9 ]
[ "gel", "top", "coat" ]
[ 15, 9, 10 ]